Hamid Reza Pourghasemi

Management, Monitoring, Policy and Law · 2013–2021

A researcher in the Science corpus: 14 papers; trusts 58 researchers and is trusted by 28 researchers here, as inferred from the citation graph.

Subfields

• Management, Monitoring, Policy and Law — 151 citations into it; #179 of 2,821 by trust here, #135 by citations
• Global and Planetary Change — 123 citations into it; #623 of 10,225 by trust here, #1,208 by citations
• Safety, Risk, Reliability and Quality — 73 citations into it
• Mechanical Engineering — 63 citations into it; #1,967 of 8,300 by trust here, #2,346 by citations
• Artificial Intelligence — 42 citations into it
• Environmental Engineering — 23 citations into it; #1,767 of 5,479 by trust here, #2,178 by citations
• Statistics and Probability — 20 citations into it
• Atmospheric Science — 18 citations into it

Whom Hamid Reza Pourghasemi trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Biswajeet Pradhan
2. Saro Lee
3. D. Tien Bui
4. Isik Yilmaz
5. Hakan Ahmet Nefeslioglu
6. Candan Gokceoglu
7. Taskin Kavzoglu
8. Thomas L. Saaty
9. Seyed Amir Naghibi
10. Hyun-Joo Oh

Who trusts Hamid Reza Pourghasemi overall

1. Wei Chen
2. Binh Thai Pham
3. Seyed Amir Naghibi
4. Khabat Khosravi
5. D. Tien Bui
6. Haoyuan Hong
7. Biswajeet Pradhan
8. Huichan Chai
9. Indra Prakash
10. Patrick Schratz

Papers from Hamid Reza Pourghasemi's perspective

Ordered by how strongly the researchers Hamid Reza Pourghasemi trusts endorse each paper. Same corpus, a different order for every researcher.

1. Landslide susceptibility assessment and factor effect analysis: backpropagation artificial neural networks and their comparison with frequency ratio and bivariate logistic regression modelling (Environmental Modelling & Software)
2. Landslide susceptibility mapping using support vector machine and GIS at the Golestan Province, Iran (Proceedings of the Indian Academy of Sciences, Earth and Planetary Sciences)
3. Digital terrain modelling: A review of hydrological, geomorphological, and biological applications
4. Landslide susceptibility mapping using frequency ratio, logistic regression, artificial neural networks and their comparison: A case study from Kat landslides (Tokat - Turkey) (Computational Geosciences)
5. Assessment of shallow landslide susceptibility using artificial neural networks in Jabonosa River Basin, Venezuela
6. Landslide hazard evaluation: a review of current techniques and their application in a multi-scale study, Central Italy
7. Bagging Predictors
8. Assessment of Landslide Susceptibility by Decision Trees in the Metropolitan Area of Istanbul, Turkey
9. Determination and application of the weights for landslide susceptibility mapping using an artificial neural network
10. Landslide susceptibility mapping using GIS-based multi-criteria decision analysis, support vector machines, and logistic regression (Landslides)

Their papers

• Landslide susceptibility mapping using machine learning algorithms and comparison of their performance at Abha Basin, Asir Region, Saudi Arabia (2021) — 389 citations
• Gully headcut susceptibility modeling using functional trees, naïve Bayes tree, and random forest models (2019) — 115 citations
• Landslide susceptibility modeling applying machine learning methods: A case study from Longju in the Three Gorges Reservoir area, China (2018) — 351 citations
• Assessment of Landslide-Prone Areas and Their Zonation Using Logistic Regression, LogitBoost, and NaïveBayes Machine-Learning Algorithms (2018) — 116 citations
• Prediction of the landslide susceptibility: Which algorithm, which precision? (2018) — 463 citations
• Landslide spatial modeling: Introducing new ensembles of ANN, MaxEnt, and SVM machine learning techniques (2017) — 365 citations
• Landslide susceptibility assesssment in the Uttarakhand area (India) using GIS: a comparison study of prediction capability of naïve bayes, multilayer perceptron neural networks, and functional trees methods (2017) — 364 citations
• Performance evaluation of GIS-based new ensemble data mining techniques of adaptive neuro-fuzzy inference system (ANFIS) with genetic algorithm (GA), differential evolution (DE), and particle swarm optimization (PSO) for landslide spatial modelling (2017) — 314 citations
• A comparative assessment between linear and quadratic discriminant analyses (LDA-QDA) with frequency ratio and weights-of-evidence models for forest fire susceptibility mapping in China (2017) — 117 citations
• Application of analytical hierarchy process, frequency ratio, and certainty factor models for groundwater potential mapping using GIS (2015) — 463 citations
• GIS-based groundwater potential mapping using boosted regression tree, classification and regression tree, and random forest machine learning models in Iran (2015) — 653 citations
• Groundwater qanat potential mapping using frequency ratio and Shannon’s entropy models in the Moghan watershed, Iran (2015) — 319 citations
• Landslide susceptibility mapping by binary logistic regression, analytical hierarchy process, and statistical index models and assessment of their performances (2013) — 407 citations
• Landslide susceptibility mapping using support vector machine and GIS at the Golestan Province, Iran (2013) — 340 citations